Daniel Riordan

Proceedings of the IEEE International Symposium on Technology and Society, 2023

Condition Monitoring of an Autonomous Electric Drive Train by Using Machine Learning Methods.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Information and Education Innovations, 2023

2022

Regressing Relative Fine-Grained Change for Sub-Groups in Unreliable Heterogeneous Data Through Deep Multi-Task Metric Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Latent Space Cartography for Geometrically Enriched Latent Spaces.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Cognitive Science - 30th Irish Conference, 2022

2021

Representation Learning for Fine-Grained Change Detection.

[BibT_eX]

[DOI]

Sensors, 2021

Improving Accuracy and Latency in Image Re-identification by Gallery Database Cleansing.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing, 2021

2020

Understanding and Exploiting Dependent Variables with Deep Metric Learning.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Systems and Applications, 2020

Where am I? Localization techniques for Mobile Robots A Review.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Mechatronics and Robotics Engineering, 2020

Path Planning Techniques for Mobile Robots A Review.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Mechatronics and Robotics Engineering, 2020

2019

Adaptive Multimodal Localisation Techniques for Mobile Robots in Unstructured Environments : A Review.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE World Forum on Internet of Things, 2019

Point Cloud Annotation Methods for 3D Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Sensing Technology, 2019

Deep Learning vs. Traditional Computer Vision.

[BibT_eX]

[DOI]

Lenka Krpalkova

Proceedings of the Advances in Computer Vision, 2019

2018

Computer Vision for 3D Perception - A Review.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Systems and Applications, 2018

Convolutional Neural Networks for 3D Vision System Data : A review.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Sensing Technology, 2018

Visual Udder Detection with Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Sensing Technology, 2018

2017

Real-time monitoring of powder blend composition using near infrared spectroscopy.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Sensing Technology, 2017

2016

Non-Invasive Sensor Technology for the Development of a Dairy Cattle Health Monitoring System.

[BibT_eX]

[DOI]

Comput., 2016

Machine learning algorithms for process analytical technology.

[BibT_eX]

[DOI]

Proceedings of the 2016 World Congress on Industrial Control Systems Security, 2016

Smart sensors for process analytical technology.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2016

2015

Automated bias-removal resistance measurement circuit for precision on-site temperature calibration exploitation of state changes of materials.

[BibT_eX]

[DOI]

Ciaran Doyle

Proceedings of the 9th International Conference on Sensing Technology, 2015

2013

An A.N.N. model of the perception of sound by the human auditory system.

[BibT_eX]

[DOI]

Pat Doody

Proceedings of the Seventh International Conference on Sensing Technology, 2013

Investigation of bone resonance during femoral reaming in hip replacement surgery.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Sensing Technology, 2013

2007

An Artificial Neural Network Implementation of the Frequency to Critical-Band Rate Conversion.

[BibT_eX]

Pat Doody

Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2007

An Alternative Method for the Estimation of the Perceptual Loudness Measure.

[BibT_eX]